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Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data EngineeringJob Category:
Scientific/TechnologyAll Job Posting Locations:
Bangalore, Karnataka, IndiaJob Description:
The Senior Engineer, Data Management will support the foundational capabilities needed to enable data-driven decision-making through persona-based insights. This role requires deep expertise in integrating Databricks with enterprise data platforms, applying advanced data management skills to build industry-leading products, and establishing research-based methods for the Data Management team.
Key Responsibilities
- Drive operational goals that directly support Data Management outcomes and enterprise data product delivery.
- Perform data profiling and analysis to identify quality trends, root causes, and opportunities for cleansing, standardization, and remediation.
- Deliver complex analyses that support data science, advanced analytics, and large-scale data mining initiatives.
- Identify and implement opportunities to automate manual processes, improve scalability, and strengthen operational efficiency.
- Design and deploy custom data solutions, programs, and platforms that address complex business and data science needs.
- Develop components of comprehensive data solutions aligned to customer expectations, business requirements, and technology standards.
- Coach junior colleagues on data management methods, engineering practices, operating processes, and role responsibilities.
- Apply Johnson & Johnson’s Credo and Leadership Imperatives in day-to-day collaboration, decision-making, and team engagement.
Qualifications
· Bachelor’s degree in Computer Science, Information Systems, Data Science, Analytics, or a related field.
· 6 to 7 years of experience in data engineering, data management, analytics, business intelligence, or related roles.
· Working knowledge of AI-assisted analytics, GenAI concepts, and responsible AI practices.
· Ability to apply responsible AI practices, including approved tool usage, sensitive data protection, and clear disclosure and traceability of AI-assisted outputs.
· Hands-on experience designing, building, and maintaining data pipelines, integration processes, and analytical data assets.
· Strong expertise in data quality management, including profiling, validation, cleansing, standardization, monitoring, and remediation.
· Experience with Alteryx, advanced Tableau (programming), PowerApps, and Power BI, including data modeling and semantic layer design.
· Proven ability to automate manual processes and scale data operations through improved workflows, tools, and governance practices.
· Strong understanding of business process data models, enterprise data structures, and semantic layers.
· Strong communication, collaboration, and stakeholder management skills, with the ability to translate technical concepts into business value.
Preferred Skills
· Proficiency with SQL, Python, and modern data engineering frameworks.
· Experience working with cloud data platforms such as Azure, AWS, or GCP.
· Experience supporting enterprise data products, platforms, and reusable data assets.
· Exposure to procurement business processes, data domains, and analytics use cases.
· Experience applying AI, machine learning, or GenAI capabilities to data quality, data stewardship, or analytics use cases.
Required Skills:
Preferred Skills:
Advanced Analytics, Agility Jumps, Analytical Reasoning, Coaching, Critical Thinking, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Quality, Data Science, Hybrid Clouds, Motivating People, Problem Solving, Process Improvements, Technologically SavvySkills Required
- Bachelor's degree in Computer Science, Information Systems, Data Science, Analytics, or a related field
- 6 to 7 years of experience in data engineering, data management, analytics, business intelligence, or related roles
- Working knowledge of AI-assisted analytics, GenAI concepts, and responsible AI practices
- Ability to apply responsible AI practices, including approved tool usage, sensitive data protection, and traceability of AI-assisted outputs
- Hands-on experience designing, building, and maintaining data pipelines, integration processes, and analytical data assets
- Strong expertise in data quality management, including profiling, validation, cleansing, standardization, monitoring, and remediation
- Experience with Alteryx, advanced Tableau, PowerApps, and Power BI, including data modeling and semantic layer design
- Ability to automate manual processes and scale data operations through improved workflows, tools, and governance practices
- Strong understanding of business process data models, enterprise data structures, and semantic layers
- Strong communication, collaboration, and stakeholder management skills, including translating technical concepts into business value
- Proficiency with SQL, Python, and modern data engineering frameworks
- Experience with cloud data platforms such as Azure, AWS, or GCP
- Experience supporting enterprise data products, platforms, and reusable data assets
- Exposure to procurement business processes, data domains, and analytics use cases
- Experience applying AI, machine learning, or GenAI to data quality, data stewardship, or analytics use cases
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines
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